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Single-cell proteomics defines the cellular heterogeneity of localized prostate cancer

Localized prostate cancer exhibits multiple genomic alterations and heterogeneity at the proteomic level. Single-cell technologies capture important cell-to-cell variability responsible for heterogeneity in biomarker expression that may be overlooked when molecular alterations are based on bulk tiss...

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Autores principales: De Vargas Roditi, Laura, Jacobs, Andrea, Rueschoff, Jan H., Bankhead, Pete, Chevrier, Stéphane, Jackson, Hartland W., Hermanns, Thomas, Fankhauser, Christian D., Poyet, Cedric, Chun, Felix, Rupp, Niels J., Tschaebunin, Alexandra, Bodenmiller, Bernd, Wild, Peter J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044103/
https://www.ncbi.nlm.nih.gov/pubmed/35492239
http://dx.doi.org/10.1016/j.xcrm.2022.100604
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author De Vargas Roditi, Laura
Jacobs, Andrea
Rueschoff, Jan H.
Bankhead, Pete
Chevrier, Stéphane
Jackson, Hartland W.
Hermanns, Thomas
Fankhauser, Christian D.
Poyet, Cedric
Chun, Felix
Rupp, Niels J.
Tschaebunin, Alexandra
Bodenmiller, Bernd
Wild, Peter J.
author_facet De Vargas Roditi, Laura
Jacobs, Andrea
Rueschoff, Jan H.
Bankhead, Pete
Chevrier, Stéphane
Jackson, Hartland W.
Hermanns, Thomas
Fankhauser, Christian D.
Poyet, Cedric
Chun, Felix
Rupp, Niels J.
Tschaebunin, Alexandra
Bodenmiller, Bernd
Wild, Peter J.
author_sort De Vargas Roditi, Laura
collection PubMed
description Localized prostate cancer exhibits multiple genomic alterations and heterogeneity at the proteomic level. Single-cell technologies capture important cell-to-cell variability responsible for heterogeneity in biomarker expression that may be overlooked when molecular alterations are based on bulk tissue samples. This study aims to identify prognostic biomarkers and describe the heterogeneity of prostate cancer and the associated microenvironment by simultaneously quantifying 36 proteins using single-cell mass cytometry analysis of over 1.6 million cells from 58 men with localized prostate cancer. We perform this task, using a high-dimensional clustering pipeline named Franken to describe subpopulations of immune, stromal, and prostate cells, including changes occurring in tumor tissues and high-grade disease that provide insights into the coordinated progression of prostate cancer. Our results further indicate that men with localized disease already harbor rare subpopulations that typically occur in castration-resistant and metastatic disease.
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spelling pubmed-90441032022-04-28 Single-cell proteomics defines the cellular heterogeneity of localized prostate cancer De Vargas Roditi, Laura Jacobs, Andrea Rueschoff, Jan H. Bankhead, Pete Chevrier, Stéphane Jackson, Hartland W. Hermanns, Thomas Fankhauser, Christian D. Poyet, Cedric Chun, Felix Rupp, Niels J. Tschaebunin, Alexandra Bodenmiller, Bernd Wild, Peter J. Cell Rep Med Article Localized prostate cancer exhibits multiple genomic alterations and heterogeneity at the proteomic level. Single-cell technologies capture important cell-to-cell variability responsible for heterogeneity in biomarker expression that may be overlooked when molecular alterations are based on bulk tissue samples. This study aims to identify prognostic biomarkers and describe the heterogeneity of prostate cancer and the associated microenvironment by simultaneously quantifying 36 proteins using single-cell mass cytometry analysis of over 1.6 million cells from 58 men with localized prostate cancer. We perform this task, using a high-dimensional clustering pipeline named Franken to describe subpopulations of immune, stromal, and prostate cells, including changes occurring in tumor tissues and high-grade disease that provide insights into the coordinated progression of prostate cancer. Our results further indicate that men with localized disease already harbor rare subpopulations that typically occur in castration-resistant and metastatic disease. Elsevier 2022-04-19 /pmc/articles/PMC9044103/ /pubmed/35492239 http://dx.doi.org/10.1016/j.xcrm.2022.100604 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
De Vargas Roditi, Laura
Jacobs, Andrea
Rueschoff, Jan H.
Bankhead, Pete
Chevrier, Stéphane
Jackson, Hartland W.
Hermanns, Thomas
Fankhauser, Christian D.
Poyet, Cedric
Chun, Felix
Rupp, Niels J.
Tschaebunin, Alexandra
Bodenmiller, Bernd
Wild, Peter J.
Single-cell proteomics defines the cellular heterogeneity of localized prostate cancer
title Single-cell proteomics defines the cellular heterogeneity of localized prostate cancer
title_full Single-cell proteomics defines the cellular heterogeneity of localized prostate cancer
title_fullStr Single-cell proteomics defines the cellular heterogeneity of localized prostate cancer
title_full_unstemmed Single-cell proteomics defines the cellular heterogeneity of localized prostate cancer
title_short Single-cell proteomics defines the cellular heterogeneity of localized prostate cancer
title_sort single-cell proteomics defines the cellular heterogeneity of localized prostate cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044103/
https://www.ncbi.nlm.nih.gov/pubmed/35492239
http://dx.doi.org/10.1016/j.xcrm.2022.100604
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